This paper represents a valuable contribution to our understanding of how LFP oscillations and beta band coordination between the hippocampus and prefrontal cortex of rats may relate to learning.

This project explores the analysis and modeling of stochastic processes using Auto-Regressive (AR) models. Implemented in MATLAB, the project covers: Simulating and analyzing synthetic signals.

Abstract: Digital Signal Processing has become a fundamental tool in signal processing applications, such as speech and image processing, due to its ability to manipulate and examine signals in a ...

The PLoM (Probabilistic Learning on Manifolds) software is a MATLAB-based toolbox designed to perform advanced probabilistic modeling and learning on manifolds. It is particularly useful for analyzing ...